16 citations · 43 across the 12 of their papers we have counts for
5 papers · 1 filter
(When) Is Truth-telling Favored in AI Debate?
Vojtěch Kovařík, Ryan Carey
For some problems, humans may not be able to accurately judge the goodness of AI-proposed solutions. Irving et al. (2018) propose that in such cases, we may use a debate between tw…
Problems with the EFG formalism: a solution attempt using observations
Vojtěch Kovařík, Viliam Lisý
We argue that the extensive-form game (EFG) model isn't powerful enough to express all important aspects of imperfect information games, such as those related to decomposition and…
Approximation capability of neural networks on spaces of probability measures and tree-structured domains
Tomas Pevny, Vojtech Kovarik
This paper extends the proof of density of neural networks in the space of continuous (or even measurable) functions on Euclidean spaces to functions on compact sets of probability…
Rethinking Formal Models of Partially Observable Multiagent Decision Making
Vojtěch Kovařík, Martin Schmid, Neil Burch +2
Multiagent decision-making in partially observable environments is usually modelled as either an extensive-form game (EFG) in game theory or a partially observable stochastic game…
Value Functions for Depth-Limited Solving in Zero-Sum Imperfect-Information Games
Vojtěch Kovařík, Dominik Seitz, Viliam Lisý +3
We provide a formal definition of depth-limited games together with an accessible and rigorous explanation of the underlying concepts, both of which were previously missing in impe…